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Title: :  Disease Prediction Using Machine Learning (Heart, Diabetes, Breast Cancer, Kidney)
PaperId: :  17189
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 3 2022
DUI:    16.0415/IJARIIE-17189
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Vaishnavi Madhukar GhadgePhaltan Education Society's College of Engineering Phaltan
Pranit Nitin GhorpadePhaltan Education Society's College of Engineering Phaltan
Ruturaj Santosh BodarePhaltan Education Society's College of Engineering Phaltan
Vivek Sanjay PisalPhaltan Education Society's College of Engineering Phaltan
Prof. P.N. ShendagePhaltan Education Society's College of Engineering Phaltan

Abstract

Computer Engineering
Machine learning, SVM, KNN, data processing, TP, TN, FP, FN, DL and ML.
Now- a -days people are facing so many diseases due to environmental changes and wrong life style [1]. Due to this it has become crucial task to detect that disease at early stage to prevent future loss. To do an accurate prediction within limited time using proposed data has become a challenge to the doctors. Data mining is very important task. In every field data is growing exponentially so that medical field is also not an exception. With the help of data collected from medical field, data preprocessing and machine learning, deep learning algorithms we can find out the hidden patterns. We represented a general disease prediction model to predict diseases like diabetes, breast cancer, heart attack, kidney and liver disease [1]. For these disease forecasts we used a pruning tree, K-Nearest Neighbor (KNN), retrieval machine and vector support (SVM) machine. Accuracy of breast cancer model is 97.36% using KNN which is a very popular algorithm with a noticeable efficiency. The accuracy of liver disease is 74.2% using logistic regression which is more than decision tree and KNN. Accuracy of heart disease is 86.9% using KNN while accuracy of diabetes is 81.1% using SVM.

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IJARIIE Vaishnavi Madhukar Ghadge, Pranit Nitin Ghorpade, Ruturaj Santosh Bodare, Vivek Sanjay Pisal, and Prof. P.N. Shendage. "Disease Prediction Using Machine Learning (Heart, Diabetes, Breast Cancer, Kidney)" International Journal Of Advance Research And Innovative Ideas In Education Volume 8 Issue 3 2022 Page 3226-3236
MLA Vaishnavi Madhukar Ghadge, Pranit Nitin Ghorpade, Ruturaj Santosh Bodare, Vivek Sanjay Pisal, and Prof. P.N. Shendage. "Disease Prediction Using Machine Learning (Heart, Diabetes, Breast Cancer, Kidney)." International Journal Of Advance Research And Innovative Ideas In Education 8.3(2022) : 3226-3236.
APA Vaishnavi Madhukar Ghadge, Pranit Nitin Ghorpade, Ruturaj Santosh Bodare, Vivek Sanjay Pisal, & Prof. P.N. Shendage. (2022). Disease Prediction Using Machine Learning (Heart, Diabetes, Breast Cancer, Kidney). International Journal Of Advance Research And Innovative Ideas In Education, 8(3), 3226-3236.
Chicago Vaishnavi Madhukar Ghadge, Pranit Nitin Ghorpade, Ruturaj Santosh Bodare, Vivek Sanjay Pisal, and Prof. P.N. Shendage. "Disease Prediction Using Machine Learning (Heart, Diabetes, Breast Cancer, Kidney)." International Journal Of Advance Research And Innovative Ideas In Education 8, no. 3 (2022) : 3226-3236.
Oxford Vaishnavi Madhukar Ghadge, Pranit Nitin Ghorpade, Ruturaj Santosh Bodare, Vivek Sanjay Pisal, and Prof. P.N. Shendage. 'Disease Prediction Using Machine Learning (Heart, Diabetes, Breast Cancer, Kidney)', International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, 2022, p. 3226-3236. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Disease_Prediction_Using_Machine_Learning__Heart__Diabetes__Breast_Cancer__Kidney__ijariie17189.pdf (Accessed : 30 March 2024).
Harvard Vaishnavi Madhukar Ghadge, Pranit Nitin Ghorpade, Ruturaj Santosh Bodare, Vivek Sanjay Pisal, and Prof. P.N. Shendage. (2022) 'Disease Prediction Using Machine Learning (Heart, Diabetes, Breast Cancer, Kidney)', International Journal Of Advance Research And Innovative Ideas In Education, 8(3), pp. 3226-3236IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Disease_Prediction_Using_Machine_Learning__Heart__Diabetes__Breast_Cancer__Kidney__ijariie17189.pdf (Accessed : 30 March 2024)
IEEE Vaishnavi Madhukar Ghadge, Pranit Nitin Ghorpade, Ruturaj Santosh Bodare, Vivek Sanjay Pisal, and Prof. P.N. Shendage, "Disease Prediction Using Machine Learning (Heart, Diabetes, Breast Cancer, Kidney)," International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, pp. 3226-3236, May-Jun 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/Disease_Prediction_Using_Machine_Learning__Heart__Diabetes__Breast_Cancer__Kidney__ijariie17189.pdf [Accessed : 30 March 2024].
Turabian Vaishnavi Madhukar Ghadge, Pranit Nitin Ghorpade, Ruturaj Santosh Bodare, Vivek Sanjay Pisal, and Prof. P.N. Shendage. "Disease Prediction Using Machine Learning (Heart, Diabetes, Breast Cancer, Kidney)." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 8 number 3 (30 March 2024).
Vancouver Vaishnavi Madhukar Ghadge, Pranit Nitin Ghorpade, Ruturaj Santosh Bodare, Vivek Sanjay Pisal, and Prof. P.N. Shendage. Disease Prediction Using Machine Learning (Heart, Diabetes, Breast Cancer, Kidney). International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2022 [Cited : 30 March 2024]; 8(3) : 3226-3236. Available from: https://ijariie.com/AdminUploadPdf/Disease_Prediction_Using_Machine_Learning__Heart__Diabetes__Breast_Cancer__Kidney__ijariie17189.pdf
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